1 Function: Domin_Krajina

Documentation:

クロステーブル作成 被度→被度階級

Description:

     クロステーブル作成 被度→被度階級

Usage:

     Domin_Krajina(cv)
     
Arguments:

      cv:

Examples:

     Domin_Krajina(26.5)
     

Examples (from .Rd):

### Name: Domin_Krajina
### Title: クロステーブル作成 被度→被度階級
### Aliases: Domin_Krajina

### ** Examples


Domin_Krajina(26.5)



Executed Example:

try(example('Domin_Krajina', package = 'TateyamaVegetation', echo=TRUE, ask=FALSE), silent = TRUE)
## 
## Dmn_Kr> Domin_Krajina(26.5)
## [1] 6

2 Function: RData_ForestTrees

Documentation:

data/RData

Description:

     data/RData

Usage:

     RData_ForestTrees()
     
Examples:

     str(ForestTrees)
     head(ForestTrees)
     

Examples (from .Rd):

### Name: RData_ForestTrees
### Title: data/RData
### Aliases: RData_ForestTrees

### ** Examples

str(ForestTrees)
head(ForestTrees)




Executed Example:

try(example('RData_ForestTrees', package = 'TateyamaVegetation', echo=TRUE, ask=FALSE), silent = TRUE)
## 
## RDt_FT> str(ForestTrees)
## 'data.frame':    3821 obs. of  20 variables:
##  $ pn  : int  1 1 1 1 1 1 1 1 1 1 ...
##  $ plot: chr  "Bijodaira" "Bijodaira" "Bijodaira" "Bijodaira" ...
##  $ lb  : int  1 2 550 551 552 553 554 555 556 3 ...
##  $ sp  : chr  "ミズナラ" "スギ" "スギ" "スギ" ...
##  $ d01 : num  NA NA 53.5 54.2 47.3 23.1 86.5 36.6 75.8 NA ...
##  $ d02 : num  NA 10.4 51.9 56.7 48.4 23.2 86.5 36 76.5 NA ...
##  $ d03 : num  10.3 11 52.1 58 49.1 23 87.3 35.6 77.5 10.9 ...
##  $ d04 : num  11.2 11.5 51.8 59.2 49.6 22.9 87.7 36.2 78.4 11.9 ...
##  $ d05 : num  12.1 12 52.1 60.4 50.5 22.9 89.2 36.5 79.4 12.9 ...
##  $ d06 : num  13.3 12.7 52.2 61.7 51.1 22.7 89.1 36.8 80.6 13.9 ...
##  $ d07 : num  14.2 13.7 52.3 63 52.5 22.8 89.8 37.2 81.6 15.1 ...
##  $ f01 : int  NA NA 3 4 4 2 4 3 5 NA ...
##  $ f02 : int  NA 3 2 3 4 2 4 4 5 NA ...
##  $ f03 : int  5 3 3 4 4 2 5 4 5 5 ...
##  $ f04 : int  5 3 3 4 4 2 4 4 5 5 ...
##  $ f05 : int  5 3 3 4 4 1 4 4 5 5 ...
##  $ f06 : int  5 2 3 4 3 1 4 3 5 5 ...
##  $ f07 : int  5 2 3 4 4 1 4 3 5 5 ...
##  $ x   : num  98.8 99.9 93 95.6 94.9 ...
##  $ y   : num  2.08 4.7 1.73 6.32 4.94 ...
## 
## RDt_FT> head(ForestTrees)
##   pn      plot  lb       sp  d01  d02  d03  d04  d05  d06  d07 f01 f02 f03 f04 f05 f06 f07       x       y
## 1  1 Bijodaira   1 ミズナラ   NA   NA 10.3 11.2 12.1 13.3 14.2  NA  NA   5   5   5   5   5 98.8000 2.08000
## 2  1 Bijodaira   2     スギ   NA 10.4 11.0 11.5 12.0 12.7 13.7  NA   3   3   3   3   2   2 99.9200 4.70000
## 3  1 Bijodaira 550     スギ 53.5 51.9 52.1 51.8 52.1 52.2 52.3   3   2   3   3   3   3   3 93.0186 1.72857
## 4  1 Bijodaira 551     スギ 54.2 56.7 58.0 59.2 60.4 61.7 63.0   4   3   4   4   4   4   4 95.6084 6.31505
## 5  1 Bijodaira 552     スギ 47.3 48.4 49.1 49.6 50.5 51.1 52.5   4   4   4   4   4   3   4 94.8704 4.93889
## 6  1 Bijodaira 553     スギ 23.1 23.2 23.0 22.9 22.9 22.7 22.8   2   2   2   2   1   1   1 92.3235 6.89409

3 Function: RData_LandMarks

Documentation:

data/RData

Description:

     data/RData

Usage:

     RData_LandMarks()
     
Examples:

     head(LandMarks)
     

Examples (from .Rd):

### Name: RData_LandMarks
### Title: data/RData
### Aliases: RData_LandMarks

### ** Examples

head(LandMarks)



Executed Example:

try(example('RData_LandMarks', package = 'TateyamaVegetation', echo=TRUE, ask=FALSE), silent = TRUE)
## 
## RDt_LM> head(LandMarks)
##        plot      sp    lb     x     y        z memo
## 1 Bijodaira stream1 渓流1 31.31  0.32 1029.983     
## 2 Bijodaira stream1 渓流2 30.01  5.20 1030.603     
## 3 Bijodaira stream1 渓流3 27.54 10.57 1031.363     
## 4 Bijodaira stream1 渓流4 25.00 16.99 1031.563     
## 5 Bijodaira stream1 渓流5 24.45 20.55 1031.692     
## 6 Bijodaira stream1 渓流6 25.55 25.05 1032.322

4 Function: RData_PlotProfile

Documentation:

data/RData

Description:

     data/RData

Usage:

     RData_PlotProfile()
     
Examples:

     head(PlotProfile)
     

Examples (from .Rd):

### Name: RData_PlotProfile
### Title: data/RData
### Aliases: RData_PlotProfile

### ** Examples

head(PlotProfile)



Executed Example:

try(example('RData_PlotProfile', package = 'TateyamaVegetation', echo=TRUE, ask=FALSE), silent = TRUE)
## 
## RDt_PP> head(PlotProfile)
##   no            na      jna  alt  fyr  yr1  yr2  yr3  yr4  yr5  yr6  yr7 limD step  Area  px  py grid cont cmin cmax cint cextype survey stream1 stream2 walk1 walk2 brankline      ido      kei Temperature   WI    CI Precipitation
## 1  1     Bijodaira   美女平 1040 2021 1998 2003 2006 2009 2012 2016 2021   10   10 10000 100 100   10 TRUE 1000 1100    1       1   TRUE    TRUE   FALSE  TRUE  TRUE        22 36.58285 137.4667         8.1 63.3 -26.3          3570
## 2  2      Bunazaka   ブナ坂 1090 2020 1998 2002 2005 2008 2011 2015 2020   10   10 10000 100 100   10 TRUE 1070 1110    1       1   TRUE    TRUE    TRUE FALSE FALSE       285 36.57857 137.4676         8.1 64.4 -27.8          3352
## 3  3     Bunadaira   ブナ平 1190 2023 1999 2003 2006 2009 2012 2017 2023   10   10 10000 100 100   10 TRUE 1170 1200    1       1   TRUE   FALSE   FALSE  TRUE FALSE        NA 36.58086 137.4795         7.9 61.9 -26.9          3440
## 4  4 Kaminokodaira 上ノ小平 1430 2024 2000 2004 2007 2010 2013 2018 2024   10   10 10000 100 100   10 TRUE 1400 1450    2       1  FALSE    TRUE    TRUE FALSE FALSE        NA 36.57132 137.5068         6.4 53.2 -35.9          3557
## 5  5    Matsuotoge   松尾峠 1970 2022 1998 2002 2005 2008 2011 2016 2022   10   10  5000  50 100   10 TRUE 1970 2000    2       2  FALSE   FALSE   FALSE FALSE FALSE        NA 36.56189 137.5526         3.7 40.0 -54.4          3633
## 6  6       Mimatsu     美松 1960 2019 1999 2003 2007 2010 2014 2019   NA   10   10  5000  50 100   10 TRUE 1940 2000    2       2  FALSE    TRUE   FALSE FALSE FALSE        NA 36.57068 137.5596         3.4 36.6 -55.2          3459
##   SnowDepth
## 1       284
## 2       256
## 3       273
## 4       323
## 5       461
## 6       411

5 Function: RData_allXYZ

Documentation:

data/RData 毎木xyz + topo xyz(中島さん@plot.csv)

Description:

     data/RData 毎木xyz + topo xyz(中島さん@plot.csv)

Usage:

     RData_allXYZ()
     
Examples:

     allXYZ
     

Examples (from .Rd):

### Name: RData_allXYZ
### Title: data/RData 毎木xyz + topo xyz(中島さん@plot.csv)
### Aliases: RData_allXYZ

### ** Examples

allXYZ



Executed Example:

try(example('RData_allXYZ', package = 'TateyamaVegetation', echo=TRUE, ask=FALSE), silent = TRUE)
## 
## RD_XYZ> allXYZ
##          plot      sp      lb      x      y        z
## 1   Bijodaira stream1   渓流1  31.31   0.32 1029.983
## 2   Bijodaira stream1   渓流2  30.01   5.20 1030.603
## 3   Bijodaira stream1   渓流3  27.54  10.57 1031.363
## 4   Bijodaira stream1   渓流4  25.00  16.99 1031.563
## 5   Bijodaira stream1   渓流5  24.45  20.55 1031.692
## 6   Bijodaira stream1   渓流6  25.55  25.05 1032.322
## 7   Bijodaira stream1   渓流7  29.89  33.21 1033.082
## 8   Bijodaira stream1   渓流8  34.74  43.03 1034.082
## 9   Bijodaira stream1   渓流9  35.98  54.16 1035.312
## 10  Bijodaira stream1  渓流10  40.02  66.54 1036.603
## 11  Bijodaira stream1  渓流11  40.21  72.13 1037.203
## 12  Bijodaira stream1  渓流12  38.96  80.24 1038.103
## 13  Bijodaira stream1  渓流13  36.65  90.96 1038.623
## 14  Bijodaira stream1  渓流14  36.45  95.51 1038.763
## 15  Bijodaira stream1  渓流15  36.21 102.63 1038.923
## 16  Bijodaira   walk1 未測量1  96.60 100.50       NA
## 17  Bijodaira   walk1 未測量2  96.20  90.00       NA
## 18  Bijodaira   walk1 未測量3  90.00  66.00       NA
## 19  Bijodaira   walk1 未測量4  86.80  53.30       NA
## 20  Bijodaira   walk1 未測量5  85.70  25.00       NA
## 21  Bijodaira   walk1 未測量6  85.20  17.00       NA
## 22  Bijodaira   walk1 未測量7  85.30   7.00       NA
## 23  Bijodaira   walk1 未測量8  85.70  -0.50       NA
## 24  Bijodaira   walk2 未測量1  85.70  25.00       NA
## 25  Bijodaira   walk2 未測量2  95.50  23.60       NA
## 26  Bijodaira   walk2 未測量3 100.50  24.80       NA
## 27  Bijodaira  survey    P1-6  10.00  60.00 1043.000
## 28  Bijodaira  survey    P3-7  30.00  70.00 1041.521
## 29  Bijodaira  survey    P2-9  20.00  90.00 1045.578
## 30  Bijodaira  survey    P5-9  50.00  90.00 1044.192
## 31  Bijodaira  survey    P5-6  50.00  60.00 1041.560
## 32  Bijodaira  survey    P5-3  50.00  30.00 1041.721
## 33  Bijodaira  survey    P6-1  60.00  10.00 1039.888
## 34  Bijodaira  survey    P8-1  80.00  10.00 1041.452
## 35  Bijodaira  survey    P9-1  90.00  10.00 1041.207
## 36  Bijodaira  survey    P5-3  50.00  30.00 1041.721
## 37  Bijodaira  survey    P5-1  50.00  10.00 1037.395
## 38  Bijodaira  survey    P4-1  40.00  10.00 1037.447
## 39  Bijodaira  survey    P1-1  10.00  10.00 1037.177
## 40  Bijodaira  survey    P1-3  10.00  30.00 1038.636
## 41  Bijodaira  survey    P5-6  50.00  60.00 1041.560
## 42  Bijodaira  survey    P7-6  70.00  60.00 1045.575
## 43  Bijodaira  survey    P9-7  90.00  70.00 1046.764
## 44  Bijodaira  survey    P5-9  50.00  90.00 1044.192
## 45  Bijodaira  survey   P7-10  70.00 100.00 1048.560
## 46  Bijodaira  survey   P5-10  50.00 100.00 1045.581
## 47  Bijodaira  survey    P5-8  50.00  80.00 1041.395
## 48  Bijodaira  survey    P5-7  50.00  70.00 1041.287
## 49  Bijodaira  survey    P5-5  50.00  50.00 1041.469
## 50  Bijodaira  survey    P5-4  50.00  40.00 1042.107
## 51  Bijodaira  survey    P5-2  50.00  20.00 1039.690
## 52  Bijodaira  survey    P3-1  30.00  10.00 1032.741
## 53  Bijodaira  survey    P2-1  20.00  10.00 1032.604
## 54  Bijodaira  survey    P0-1   0.00  10.00 1039.973
## 55  Bijodaira  survey    P0-2   0.00  20.00 1040.998
## 56  Bijodaira  survey    P1-2  10.00  20.00 1037.500
## 57  Bijodaira  survey    P0-3   0.00  30.00 1041.912
## 58  Bijodaira  survey    P1-4  10.00  40.00 1040.785
## 59  Bijodaira  survey    P2-4  20.00  40.00 1037.604
## 60  Bijodaira  survey    P3-4  30.00  40.00 1034.339
## 61  Bijodaira  survey    P4-3  40.00  30.00 1039.760
## 62  Bijodaira  survey    P4-2  40.00  20.00 1039.374
## 63  Bijodaira  survey    P6-3  60.00  30.00 1041.243
## 64  Bijodaira  survey    P6-0  60.00   0.00 1037.916
## 65  Bijodaira  survey   P10-1 100.00  10.00 1036.741
## 66  Bijodaira  survey    P9-2  90.00  20.00 1042.449
## 67  Bijodaira  survey    P8-2  80.00  20.00 1042.674
## 68  Bijodaira  survey    P8-3  80.00  30.00 1043.310
## 69  Bijodaira  survey    P8-4  80.00  40.00 1044.096
## 70  Bijodaira  survey    P9-3  90.00  30.00 1042.613
## 71  Bijodaira  survey    P4-6  40.00  60.00 1036.878
## 72  Bijodaira  survey    P6-5  60.00  50.00 1044.050
## 73  Bijodaira  survey    P7-5  70.00  50.00 1044.311
## 74  Bijodaira  survey    P9-5  90.00  50.00 1045.418
## 75  Bijodaira  survey    P8-6  80.00  60.00 1045.330
## 76  Bijodaira  survey    P7-7  70.00  70.00 1045.642
## 77  Bijodaira  survey    P8-7  80.00  70.00 1046.378
## 78  Bijodaira  survey    P9-8  90.00  80.00 1047.497
## 79  Bijodaira  survey   P10-8 100.00  80.00 1047.644
## 80  Bijodaira  survey    P6-8  60.00  80.00 1044.368
## 81  Bijodaira  survey    P6-9  60.00  90.00 1045.856
## 82  Bijodaira  survey   P6-10  60.00 100.00 1047.869
## 83  Bijodaira  survey   P8-10  80.00 100.00 1049.549
## 84  Bijodaira  survey   P9-10  90.00 100.00 1049.813
## 85  Bijodaira  survey    P8-9  80.00  90.00 1048.742
## 86  Bijodaira  survey    P3-9  30.00  90.00 1041.482
## 87  Bijodaira  survey    P1-9  10.00  90.00 1046.062
## 88  Bijodaira  survey    P0-9   0.00  90.00 1047.092
## 89  Bijodaira  survey    P1-8  10.00  80.00 1045.554
## 90  Bijodaira  survey    P2-8  20.00  80.00 1045.183
## 91  Bijodaira  survey    P2-7  20.00  70.00 1042.516
## 92  Bijodaira  survey    P2-6  20.00  60.00 1040.792
## 93  Bijodaira  survey    P2-5  20.00  50.00 1040.403
## 94  Bijodaira  survey    P0-7   0.00  70.00 1045.093
## 95  Bijodaira  survey    P0-6   0.00  60.00 1043.954
## 96  Bijodaira  survey    P0-5   0.00  50.00 1043.772
## 97  Bijodaira  survey    P4-8  40.00  80.00 1038.323
## 98  Bijodaira  survey    P3-3  30.00  30.00 1033.092
## 99  Bijodaira  survey    P3-0  30.00   0.00 1030.413
## 100 Bijodaira  survey   P10-7 100.00  70.00 1046.943
## 101 Bijodaira  survey   P10-5 100.00  50.00 1045.557
## 102 Bijodaira  survey   P10-6 100.00  60.00 1046.428
## 103 Bijodaira  survey   P10-0 100.00   0.00 1035.156
## 104 Bijodaira  survey   P10-2 100.00  20.00 1040.021
## 105 Bijodaira  survey   P10-3 100.00  30.00 1042.244
## 106 Bunadaira  survey    VP10  20.22  77.27 1187.420
## 107 Bunadaira  survey    VP11  14.58  35.00 1186.250
## 108 Bunadaira  survey    VP19  16.67  11.25 1187.748
## 109 Bunadaira  survey    VP03  32.85  60.65 1188.030
## 110 Bunadaira  survey    VP13  28.87  14.90 1187.500
## 111 Bunadaira  survey    VP09  43.83  88.67 1187.320
## 112 Bunadaira  survey    VP12  41.69  11.38 1189.860
## 113 Bunadaira  survey    VP02  53.62  62.03 1187.380
## 114 Bunadaira  survey    VP08  73.40  90.79 1188.370
## 115 Bunadaira  survey    VP15  70.72  14.95 1188.480
## 116 Bunadaira  survey    VP06  86.75  55.45 1187.930
## 117 Bunadaira  survey    VP17  85.72  48.42 1188.160
## 118 Bunadaira  survey    VP01  82.00  23.00 1188.000
## 119 Bunadaira  survey    VP16  85.60  17.71 1188.210
## 120 Bunadaira  survey    VP18  96.10  82.41 1189.150
## 121 Bunadaira  survey    VP07  96.94  82.91 1189.090
## 122 Bunadaira  survey    VP05  96.48  33.77 1188.860
## 123 Bunadaira  survey    VP04 102.93  12.82 1187.610
## 124 Bunadaira   walk1 未測量1  -0.50  11.70       NA
## 125 Bunadaira   walk1 未測量2  16.60  10.90       NA
## 126 Bunadaira   walk1 未測量3  26.00  12.00       NA
## 127 Bunadaira   walk1 未測量4  36.00  15.30       NA
## 128 Bunadaira   walk1 未測量5  55.50  11.10       NA
## 129 Bunadaira   walk1 未測量6  64.50  13.20       NA
## 130 Bunadaira   walk1 未測量7  77.00  18.50       NA
## 131 Bunadaira   walk1 未測量8  87.00  18.00       NA
## 132 Bunadaira   walk1 未測量9 100.50  16.60       NA
## 133  Bunazaka  survey    B001  16.45  29.35 1093.269
## 134  Bunazaka  survey    B002  30.31  12.43 1091.772
## 135  Bunazaka  survey    B003  38.50  52.82 1097.927
## 136  Bunazaka  survey    B004  44.90  60.11 1098.800
## 137  Bunazaka  survey    B005  18.15  80.47 1090.357
## 138  Bunazaka  survey    B006   3.28  98.19 1090.513
## 139  Bunazaka  survey    B007  26.38  96.03 1092.120
## 140  Bunazaka  survey    B008  49.16  95.92 1094.951
## 141  Bunazaka  survey    B009  77.13  88.91 1099.509
## 142  Bunazaka  survey    B010  83.29  82.90 1099.338
## 143  Bunazaka  survey    B011  82.13  69.83 1098.833
## 144  Bunazaka  survey    B012  87.79  39.86 1098.173
## 145  Bunazaka  survey    B013  96.20  28.54 1100.951
## 146  Bunazaka  survey    B014  89.94  15.28 1101.542
## 147  Bunazaka  survey    B015  39.89  43.53 1096.417
## 148  Bunazaka  survey   杭0.0   0.00   0.00 1088.052
## 149  Bunazaka  survey  杭10.0  10.00   0.00 1088.142
## 150  Bunazaka  survey  杭20.0  20.00   0.00 1089.702
## 151  Bunazaka  survey  杭30.0  30.00   0.00 1089.942
## 152  Bunazaka  survey  杭40.0  40.00   0.00 1091.352
## 153  Bunazaka  survey  杭50.0  50.00   0.00 1089.382
## 154  Bunazaka stream1   渓流1  59.64  -3.62 1085.680
## 155  Bunazaka stream1   渓流2  55.98   0.65 1086.230
## 156  Bunazaka stream1   渓流3  54.06   3.55 1086.850
## 157  Bunazaka stream1   渓流4  55.01   9.42 1087.370
## 158  Bunazaka stream1   渓流5  59.29  14.81 1088.930
## 159  Bunazaka stream1   渓流6  61.40  16.00 1089.010
## 160  Bunazaka stream1   渓流7  65.89  21.46 1090.030
## 161  Bunazaka stream1   渓流8  70.45  26.28 1090.600
## 162  Bunazaka stream1   渓流9  73.80  34.02 1091.410
## 163  Bunazaka stream1  渓流10  75.69  39.40 1091.870
## 164  Bunazaka stream1  渓流11  74.76  45.28 1092.290
## 165  Bunazaka stream2  渓流11  74.76  45.28 1092.290
## 166  Bunazaka stream2  渓流12  78.33  49.08 1092.540
##  [ reached 'max' / getOption("max.print") -- omitted 3854 rows ]

6 Function: RData_rasXYZ

Documentation:

Title

Description:

     Title

Usage:

     RData_rasXYZ()
     
Examples:

     par(mfrow=c(3,3))
     for(i in 1:nrow(plt)){
      contour(rasXYZ[[i]],main=plt$na[i])
     }
     ggplot() +
     geom_contour(data =rasXYZ[[1]], aes(x = x, y = y, z = z), color = "blue")
     

Examples (from .Rd):

### Name: RData_rasXYZ
### Title: Title
### Aliases: RData_rasXYZ

### ** Examples

par(mfrow=c(3,3))
for(i in 1:nrow(plt)){
 contour(rasXYZ[[i]],main=plt$na[i])
}
ggplot() +
geom_contour(data =rasXYZ[[1]], aes(x = x, y = y, z = z), color = "blue")



Executed Example:

try(example('RData_rasXYZ', package = 'TateyamaVegetation', echo=TRUE, ask=FALSE), silent = TRUE)
## 
## RD_XYZ> par(mfrow=c(3,3))
## 
## RD_XYZ> for(i in 1:nrow(plt)){
## RD_XYZ+  contour(rasXYZ[[i]],main=plt$na[i])
## RD_XYZ+ }
## 
## RD_XYZ> ggplot() +
## RD_XYZ+ geom_contour(data =rasXYZ[[1]], aes(x = x, y = y, z = z), color = "blue")

7 Function: RData_subplot_xy

Documentation:

data/RData

Description:

     data/RData

Usage:

     RData_subplot_xy()
     
Examples:

     .<-subplot_xy
     head(.)
     table(.$plot)
     plot(1:100,type="n")
     i<-.$plot=="Bunazaka"
     text(.$x[i],.$y[i],.$subplot[i])
     RData_subplot_xy()
     

Examples (from .Rd):

### Name: RData_subplot_xy
### Title: data/RData
### Aliases: RData_subplot_xy

### ** Examples

.<-subplot_xy
head(.)
table(.$plot)
plot(1:100,type="n")
i<-.$plot=="Bunazaka"
text(.$x[i],.$y[i],.$subplot[i])
RData_subplot_xy()



Executed Example:

try(example('RData_subplot_xy', package = 'TateyamaVegetation', echo=TRUE, ask=FALSE), silent = TRUE)
## 
## RDt_s_> .<-subplot_xy
## 
## RDt_s_> head(.)
##        plot  x  y subplot
## 1 Bijodaira 55 55       1
## 2 Bijodaira 55 65       2
## 3 Bijodaira 55 75       3
## 4 Bijodaira 55 85       4
## 5 Bijodaira 55 95       5
## 6 Bijodaira 65 55       6
## 
## RDt_s_> table(.$plot)
## 
##       Arimine     Bijodaira     Bunadaira      Bunazaka      Joudosan    Kagamiishi Kaminokodaira    Matsuotoge       Mimatsu 
##            25            25            25            28            25            25            25            50            25 
## 
## RDt_s_> plot(1:100,type="n")

## 
## RDt_s_> i<-.$plot=="Bunazaka"
## 
## RDt_s_> text(.$x[i],.$y[i],.$subplot[i])
## 
## RDt_s_> RData_subplot_xy()
## [1] "This is data !!"

8 Function: RData_topo

Documentation:

RData_topo
中島さんが測量した調査区内の小川や歩道,補足測量点のデータをtopoとしてまとめる

Description:

     RData_topo
     中島さんが測量した調査区内の小川や歩道,補足測量点のデータをtopoとしてまとめる

Usage:

     RData_topo()
     
Examples:

     # not run !!  see body of this function with type 'RData_topo'
     topo
     

Examples (from .Rd):

### Name: RData_topo
### Title: RData_topo
###   中島さんが測量した調査区内の小川や歩道,補足測量点のデータをtopoとしてまとめる
### Aliases: RData_topo

### ** Examples

# not run !!  see body of this function with type 'RData_topo'
topo



Executed Example:

try(example('RData_topo', package = 'TateyamaVegetation', echo=TRUE, ask=FALSE), silent = TRUE)
## 
## RDt_tp> # not run !!  see body of this function with type 'RData_topo'
## RDt_tp> topo
##          plot      sp      lb      x      y        z                           memo
## 1   Bijodaira stream1   渓流1  31.31   0.32 1029.983                               
## 2   Bijodaira stream1   渓流2  30.01   5.20 1030.603                               
## 3   Bijodaira stream1   渓流3  27.54  10.57 1031.363                               
## 4   Bijodaira stream1   渓流4  25.00  16.99 1031.563                               
## 5   Bijodaira stream1   渓流5  24.45  20.55 1031.692                               
## 6   Bijodaira stream1   渓流6  25.55  25.05 1032.322                               
## 7   Bijodaira stream1   渓流7  29.89  33.21 1033.082                               
## 8   Bijodaira stream1   渓流8  34.74  43.03 1034.082                               
## 9   Bijodaira stream1   渓流9  35.98  54.16 1035.312                               
## 10  Bijodaira stream1  渓流10  40.02  66.54 1036.603                               
## 11  Bijodaira stream1  渓流11  40.21  72.13 1037.203                               
## 12  Bijodaira stream1  渓流12  38.96  80.24 1038.103                               
## 13  Bijodaira stream1  渓流13  36.65  90.96 1038.623                               
## 14  Bijodaira stream1  渓流14  36.45  95.51 1038.763                               
## 15  Bijodaira stream1  渓流15  36.21 102.63 1038.923                               
## 16  Bijodaira   walk1 未測量1  96.60 100.50       NA いずれも未測量,xyは現地で目算
## 17  Bijodaira   walk1 未測量2  96.20  90.00       NA                               
## 18  Bijodaira   walk1 未測量3  90.00  66.00       NA                               
## 19  Bijodaira   walk1 未測量4  86.80  53.30       NA                               
## 20  Bijodaira   walk1 未測量5  85.70  25.00       NA                               
## 21  Bijodaira   walk1 未測量6  85.20  17.00       NA                               
## 22  Bijodaira   walk1 未測量7  85.30   7.00       NA                               
## 23  Bijodaira   walk1 未測量8  85.70  -0.50       NA                               
## 24  Bijodaira   walk2 未測量1  85.70  25.00       NA いずれも未測量,xyは現地で目算
## 25  Bijodaira   walk2 未測量2  95.50  23.60       NA                               
## 26  Bijodaira   walk2 未測量3 100.50  24.80       NA                               
## 27  Bijodaira  survey    P1-6  10.00  60.00 1043.000                               
## 28  Bijodaira  survey    P3-7  30.00  70.00 1041.521                               
## 29  Bijodaira  survey    P2-9  20.00  90.00 1045.578                               
## 30  Bijodaira  survey    P5-9  50.00  90.00 1044.192                               
## 31  Bijodaira  survey    P5-6  50.00  60.00 1041.560                               
## 32  Bijodaira  survey    P5-3  50.00  30.00 1041.721                               
## 33  Bijodaira  survey    P6-1  60.00  10.00 1039.888                               
## 34  Bijodaira  survey    P8-1  80.00  10.00 1041.452                               
## 35  Bijodaira  survey    P9-1  90.00  10.00 1041.207                               
## 36  Bijodaira  survey    P5-3  50.00  30.00 1041.721                               
## 37  Bijodaira  survey    P5-1  50.00  10.00 1037.395                               
## 38  Bijodaira  survey    P4-1  40.00  10.00 1037.447                               
## 39  Bijodaira  survey    P1-1  10.00  10.00 1037.177                               
## 40  Bijodaira  survey    P1-3  10.00  30.00 1038.636                               
## 41  Bijodaira  survey    P5-6  50.00  60.00 1041.560                               
## 42  Bijodaira  survey    P7-6  70.00  60.00 1045.575                               
## 43  Bijodaira  survey    P9-7  90.00  70.00 1046.764                               
## 44  Bijodaira  survey    P5-9  50.00  90.00 1044.192                               
## 45  Bijodaira  survey   P7-10  70.00 100.00 1048.560                               
## 46  Bijodaira  survey   P5-10  50.00 100.00 1045.581                               
## 47  Bijodaira  survey    P5-8  50.00  80.00 1041.395                               
## 48  Bijodaira  survey    P5-7  50.00  70.00 1041.287                               
## 49  Bijodaira  survey    P5-5  50.00  50.00 1041.469                               
## 50  Bijodaira  survey    P5-4  50.00  40.00 1042.107                               
## 51  Bijodaira  survey    P5-2  50.00  20.00 1039.690                               
## 52  Bijodaira  survey    P3-1  30.00  10.00 1032.741                               
## 53  Bijodaira  survey    P2-1  20.00  10.00 1032.604                               
## 54  Bijodaira  survey    P0-1   0.00  10.00 1039.973                               
## 55  Bijodaira  survey    P0-2   0.00  20.00 1040.998                               
## 56  Bijodaira  survey    P1-2  10.00  20.00 1037.500                               
## 57  Bijodaira  survey    P0-3   0.00  30.00 1041.912                               
## 58  Bijodaira  survey    P1-4  10.00  40.00 1040.785                               
## 59  Bijodaira  survey    P2-4  20.00  40.00 1037.604                               
## 60  Bijodaira  survey    P3-4  30.00  40.00 1034.339                               
## 61  Bijodaira  survey    P4-3  40.00  30.00 1039.760                               
## 62  Bijodaira  survey    P4-2  40.00  20.00 1039.374                               
## 63  Bijodaira  survey    P6-3  60.00  30.00 1041.243                               
## 64  Bijodaira  survey    P6-0  60.00   0.00 1037.916                               
## 65  Bijodaira  survey   P10-1 100.00  10.00 1036.741                               
## 66  Bijodaira  survey    P9-2  90.00  20.00 1042.449                               
## 67  Bijodaira  survey    P8-2  80.00  20.00 1042.674                               
## 68  Bijodaira  survey    P8-3  80.00  30.00 1043.310                               
## 69  Bijodaira  survey    P8-4  80.00  40.00 1044.096                               
## 70  Bijodaira  survey    P9-3  90.00  30.00 1042.613                               
## 71  Bijodaira  survey    P4-6  40.00  60.00 1036.878                               
## 72  Bijodaira  survey    P6-5  60.00  50.00 1044.050                               
## 73  Bijodaira  survey    P7-5  70.00  50.00 1044.311                               
## 74  Bijodaira  survey    P9-5  90.00  50.00 1045.418                               
## 75  Bijodaira  survey    P8-6  80.00  60.00 1045.330                               
## 76  Bijodaira  survey    P7-7  70.00  70.00 1045.642                               
## 77  Bijodaira  survey    P8-7  80.00  70.00 1046.378                               
## 78  Bijodaira  survey    P9-8  90.00  80.00 1047.497                               
## 79  Bijodaira  survey   P10-8 100.00  80.00 1047.644                               
## 80  Bijodaira  survey    P6-8  60.00  80.00 1044.368                               
## 81  Bijodaira  survey    P6-9  60.00  90.00 1045.856                               
## 82  Bijodaira  survey   P6-10  60.00 100.00 1047.869                               
## 83  Bijodaira  survey   P8-10  80.00 100.00 1049.549                               
## 84  Bijodaira  survey   P9-10  90.00 100.00 1049.813                               
## 85  Bijodaira  survey    P8-9  80.00  90.00 1048.742                               
## 86  Bijodaira  survey    P3-9  30.00  90.00 1041.482                               
## 87  Bijodaira  survey    P1-9  10.00  90.00 1046.062                               
## 88  Bijodaira  survey    P0-9   0.00  90.00 1047.092                               
## 89  Bijodaira  survey    P1-8  10.00  80.00 1045.554                               
## 90  Bijodaira  survey    P2-8  20.00  80.00 1045.183                               
## 91  Bijodaira  survey    P2-7  20.00  70.00 1042.516                               
## 92  Bijodaira  survey    P2-6  20.00  60.00 1040.792                               
## 93  Bijodaira  survey    P2-5  20.00  50.00 1040.403                               
## 94  Bijodaira  survey    P0-7   0.00  70.00 1045.093                               
## 95  Bijodaira  survey    P0-6   0.00  60.00 1043.954                               
## 96  Bijodaira  survey    P0-5   0.00  50.00 1043.772                               
## 97  Bijodaira  survey    P4-8  40.00  80.00 1038.323                               
## 98  Bijodaira  survey    P3-3  30.00  30.00 1033.092                               
## 99  Bijodaira  survey    P3-0  30.00   0.00 1030.413                               
## 100 Bijodaira  survey   P10-7 100.00  70.00 1046.943                               
## 101 Bijodaira  survey   P10-5 100.00  50.00 1045.557                               
## 102 Bijodaira  survey   P10-6 100.00  60.00 1046.428                               
## 103 Bijodaira  survey   P10-0 100.00   0.00 1035.156                               
## 104 Bijodaira  survey   P10-2 100.00  20.00 1040.021                               
## 105 Bijodaira  survey   P10-3 100.00  30.00 1042.244                               
## 106 Bunadaira  survey    VP10  20.22  77.27 1187.420                               
## 107 Bunadaira  survey    VP11  14.58  35.00 1186.250                               
## 108 Bunadaira  survey    VP19  16.67  11.25 1187.748                               
## 109 Bunadaira  survey    VP03  32.85  60.65 1188.030                               
## 110 Bunadaira  survey    VP13  28.87  14.90 1187.500                               
## 111 Bunadaira  survey    VP09  43.83  88.67 1187.320                               
## 112 Bunadaira  survey    VP12  41.69  11.38 1189.860                               
## 113 Bunadaira  survey    VP02  53.62  62.03 1187.380                               
## 114 Bunadaira  survey    VP08  73.40  90.79 1188.370                               
## 115 Bunadaira  survey    VP15  70.72  14.95 1188.480                               
## 116 Bunadaira  survey    VP06  86.75  55.45 1187.930                               
## 117 Bunadaira  survey    VP17  85.72  48.42 1188.160                               
## 118 Bunadaira  survey    VP01  82.00  23.00 1188.000                               
## 119 Bunadaira  survey    VP16  85.60  17.71 1188.210                               
## 120 Bunadaira  survey    VP18  96.10  82.41 1189.150                               
## 121 Bunadaira  survey    VP07  96.94  82.91 1189.090                               
## 122 Bunadaira  survey    VP05  96.48  33.77 1188.860                               
## 123 Bunadaira  survey    VP04 102.93  12.82 1187.610                               
## 124 Bunadaira   walk1 未測量1  -0.50  11.70       NA いずれも未測量,xyは現地で目算
## 125 Bunadaira   walk1 未測量2  16.60  10.90       NA                               
## 126 Bunadaira   walk1 未測量3  26.00  12.00       NA                               
## 127 Bunadaira   walk1 未測量4  36.00  15.30       NA                               
## 128 Bunadaira   walk1 未測量5  55.50  11.10       NA                               
## 129 Bunadaira   walk1 未測量6  64.50  13.20       NA                               
## 130 Bunadaira   walk1 未測量7  77.00  18.50       NA                               
## 131 Bunadaira   walk1 未測量8  87.00  18.00       NA                               
## 132 Bunadaira   walk1 未測量9 100.50  16.60       NA                               
## 133  Bunazaka  survey    B001  16.45  29.35 1093.269                               
## 134  Bunazaka  survey    B002  30.31  12.43 1091.772                               
## 135  Bunazaka  survey    B003  38.50  52.82 1097.927                               
## 136  Bunazaka  survey    B004  44.90  60.11 1098.800                               
## 137  Bunazaka  survey    B005  18.15  80.47 1090.357                               
## 138  Bunazaka  survey    B006   3.28  98.19 1090.513                               
## 139  Bunazaka  survey    B007  26.38  96.03 1092.120                               
## 140  Bunazaka  survey    B008  49.16  95.92 1094.951                               
## 141  Bunazaka  survey    B009  77.13  88.91 1099.509                               
## 142  Bunazaka  survey    B010  83.29  82.90 1099.338                               
##  [ reached 'max' / getOption("max.print") -- omitted 57 rows ]

9 Function: RData_treesXYZ

Documentation:

data/RData

Description:

     data/RData

Usage:

     RData_treesXYZ()
     
Examples:

     treesXYZ
     

Examples (from .Rd):

### Name: RData_treesXYZ
### Title: data/RData
### Aliases: RData_treesXYZ

### ** Examples

treesXYZ



Executed Example:

try(example('RData_treesXYZ', package = 'TateyamaVegetation', echo=TRUE, ask=FALSE), silent = TRUE)
## 
## RD_XYZ> treesXYZ
##          plot             sp  lb          x          y        z
## 1   Bijodaira       ミズナラ   1 98.8000000  2.0800000 1033.826
## 2   Bijodaira           スギ   2 99.9200000  4.7000000 1033.256
## 3   Bijodaira           スギ 550 93.0186000  1.7285700 1039.207
## 4   Bijodaira           スギ 551 95.6084000  6.3150500 1039.705
## 5   Bijodaira           スギ 552 94.8704000  4.9388900 1039.143
## 6   Bijodaira           スギ 553 92.3235000  6.8940900 1040.410
## 7   Bijodaira           スギ 554 92.0305000  8.3674200 1041.132
## 8   Bijodaira           スギ 555 90.9334000  8.5062200 1041.089
## 9   Bijodaira           スギ 556 90.8086000  5.8785700 1041.407
## 10  Bijodaira           ブナ   3 85.4036000  9.4255000 1042.486
## 11  Bijodaira           ブナ  87 84.4136000  9.2855000       NA
## 12  Bijodaira           スギ 557 76.6747000  4.5735400 1041.571
## 13  Bijodaira           スギ 558 74.1547000  2.4035400 1041.511
## 14  Bijodaira           スギ 559 75.8047000  3.2935400 1041.541
## 15  Bijodaira           スギ 560 72.4447000  2.9835400 1041.511
## 16  Bijodaira           スギ 561 70.9647000  1.4935400 1041.461
## 17  Bijodaira           スギ 562 70.1747000  0.6535400 1041.421
## 18  Bijodaira           スギ 563 69.7047000  4.1935400 1041.481
## 19  Bijodaira ウリハダカエデ   4 66.9800000  0.0500000       NA
## 20  Bijodaira ウリハダカエデ   5 66.7933000  4.5079800 1038.110
## 21  Bijodaira           ブナ   6 64.8733000  7.6479800 1038.830
## 22  Bijodaira       ホオノキ 564 64.0133000  7.3879800 1038.670
## 23  Bijodaira       ホオノキ 565 63.7533000  7.5279800 1038.670
## 24  Bijodaira           スギ 566 59.8394000  5.6193300 1038.208
## 25  Bijodaira           スギ 567 57.9623000  6.6529500 1037.375
## 26  Bijodaira           スギ 568 60.1335000  1.0005900 1038.649
## 27  Bijodaira           スギ 569 57.7218000  2.0155500 1036.712
## 28  Bijodaira           スギ 570 56.6270000  2.1323300 1036.435
## 29  Bijodaira           スギ 571 51.4923000  1.9482100 1035.510
## 30  Bijodaira           スギ 572 52.8423000  8.3082100 1036.690
## 31  Bijodaira           スギ 573 47.4623000  8.3982100 1036.670
## 32  Bijodaira           スギ 574 46.4048000 12.3153000 1038.595
## 33  Bijodaira           スギ 575 46.1023000  9.6482100 1037.240
## 34  Bijodaira           スギ 576 45.8723000  8.1882100 1037.020
## 35  Bijodaira           スギ 577 47.8872000  6.6057300 1036.213
## 36  Bijodaira           スギ 578 45.9324000  5.9039200 1037.338
## 37  Bijodaira           スギ 579 45.5080000  5.0111700 1037.244
## 38  Bijodaira           スギ 580 46.2118000  2.0933300 1036.345
## 39  Bijodaira           スギ 581 46.4329000  1.0815100 1036.492
## 40  Bijodaira           スギ 582 41.5165000  0.3156940 1036.582
## 41  Bijodaira           スギ 583 40.4199000  1.4150600 1036.642
## 42  Bijodaira           ブナ  88 37.6199000  4.8450600       NA
## 43  Bijodaira           ブナ   7 37.0199000  4.3250600 1035.952
## 44  Bijodaira           ブナ 584 36.7799000  1.7550600 1035.122
## 45  Bijodaira           ブナ   8 38.4999000 -1.0749400 1034.752
## 46  Bijodaira           ブナ   9 34.7899000 -0.1749400 1033.762
## 47  Bijodaira           ブナ 585 32.6699000  3.0050600 1033.852
## 48  Bijodaira           ブナ 586 32.1099000  4.6850600 1033.912
## 49  Bijodaira           ブナ  10 29.7099000  1.9150600 1031.802
## 50  Bijodaira           スギ 587 22.9076000  2.8750800 1030.808
## 51  Bijodaira           スギ 588 17.5692000 -0.0812644 1035.048
## 52  Bijodaira           ブナ  11 18.4615000  4.8777800 1034.298
## 53  Bijodaira           スギ 589 16.6815000  5.1277800 1035.468
## 54  Bijodaira       アオダモ  89 12.1376000  7.9935700       NA
## 55  Bijodaira           スギ 590 12.6788000  5.3973100 1034.861
## 56  Bijodaira           スギ 591  9.7702100  0.5975880 1038.187
## 57  Bijodaira           スギ 592  8.7622400  0.9641120 1038.331
## 58  Bijodaira           スギ 593  4.2720000  0.2217870 1038.264
## 59  Bijodaira           スギ 594  0.5032700  4.4699800 1038.719
## 60  Bijodaira           スギ 595  2.1439000  7.2755900 1038.909
## 61  Bijodaira           スギ 596  5.2552600  4.2447600 1038.040
## 62  Bijodaira           スギ  12  7.5676000  7.0135700 1036.797
## 63  Bijodaira           スギ 597 10.6676000  6.9635700 1036.077
## 64  Bijodaira           スギ 598 10.7316000 10.6052000 1037.344
## 65  Bijodaira           スギ 599 15.6435000 12.8508000 1033.933
## 66  Bijodaira           スギ 600 15.2043000 11.3266000 1035.827
## 67  Bijodaira           スギ 601 18.1488000  8.4012600 1033.124
## 68  Bijodaira           スギ 602 18.1731000 15.4696000 1034.225
## 69  Bijodaira           スギ 603 17.4862000 15.7299000 1034.286
## 70  Bijodaira           スギ 604 17.2923000 16.4748000 1034.700
## 71  Bijodaira           ブナ 605 20.2347000 17.0836000 1035.393
## 72  Bijodaira           スギ 606 20.0047000 19.2736000 1035.763
## 73  Bijodaira           ブナ  13 22.1647000 20.8936000 1035.513
## 74  Bijodaira       アオダモ  14 17.9347000 23.1536000 1036.463
## 75  Bijodaira       トチノキ  15 11.4669000 21.2111000 1037.250
## 76  Bijodaira           スギ 607 11.7769000 18.0811000 1037.070
## 77  Bijodaira           スギ 608 10.9396000 17.0019000 1037.474
## 78  Bijodaira           スギ 609  8.5594600 19.0049000 1038.767
## 79  Bijodaira       ホオノキ 610  7.1798100 16.0033000 1037.946
## 80  Bijodaira ウワミズザクラ 611  5.0988100 13.2233000 1038.390
## 81  Bijodaira           ブナ  65  2.7405460 13.0801000 1038.750
## 82  Bijodaira           スギ 612  0.4005460 16.6901000 1039.840
## 83  Bijodaira           スギ 613  0.0632952 22.7470000 1040.646
## 84  Bijodaira           スギ 614  0.0253342 22.7411000 1040.623
## 85  Bijodaira           スギ 615  2.3602800 23.6534000 1041.845
## 86  Bijodaira           スギ  16  5.0002800 21.6634000 1040.065
## 87  Bijodaira           スギ 616  8.2319900 23.7516000 1037.508
## 88  Bijodaira           スギ 617 10.7357000 27.0832000 1038.766
## 89  Bijodaira           スギ 618 12.1895000 25.6595000 1038.202
## 90  Bijodaira           スギ 619 12.9498000 24.9484000 1036.134
## 91  Bijodaira           スギ 620 15.1098000 25.9984000 1035.854
## 92  Bijodaira           スギ 621 25.1501000 33.4789000 1035.147
## 93  Bijodaira           スギ 622 21.8273000 32.9850000 1035.340
## 94  Bijodaira       トチノキ 623 25.5360000 40.1546000 1034.973
## 95  Bijodaira       トチノキ 624 25.5201000 40.6973000 1035.304
## 96  Bijodaira           スギ 625 24.9975000 43.5516000 1036.399
## 97  Bijodaira           スギ 626 22.1801000 39.2589000 1037.817
## 98  Bijodaira           スギ 627 16.8199000 40.2106000 1040.799
## 99  Bijodaira           スギ 628 15.4781000 40.0765000 1040.021
## 100 Bijodaira           スギ 629 13.8707000 41.1760000 1039.682
## 101 Bijodaira           ブナ  17 14.9169000 38.6281000 1040.201
## 102 Bijodaira           ブナ  66 14.9169000 38.6281000 1040.201
## 103 Bijodaira     コシアブラ 630 13.8169000 38.7081000 1039.951
## 104 Bijodaira           スギ 631  8.5740400 37.8619000 1039.496
## 105 Bijodaira           スギ 632 10.3774000 33.6476000 1039.373
## 106 Bijodaira           スギ 633  5.8133700 29.3992000 1040.013
## 107 Bijodaira           スギ 634  4.0835200 30.1640000 1040.565
## 108 Bijodaira           スギ 635  3.9351100 33.1301000 1040.405
## 109 Bijodaira           スギ 636  4.4562900 40.3779000 1041.981
## 110 Bijodaira           スギ 637  5.4098600 38.4511000 1043.791
## 111 Bijodaira       ミズナラ 638  8.3119000 40.6582000 1040.320
## 112 Bijodaira           スギ 639  6.0389200 47.1196000 1042.875
## 113 Bijodaira           スギ 640 10.2585000 46.1678000 1042.441
## 114 Bijodaira           スギ 641 12.2782000 46.7789000 1043.011
## 115 Bijodaira           スギ 642 13.8110000 45.3232000 1041.779
## 116 Bijodaira           スギ 643 16.1210000 44.6632000 1040.929
## 117 Bijodaira ウワミズザクラ 644 20.7324000 50.7453000 1040.873
## 118 Bijodaira           ブナ  18 21.7674000 48.4877000 1037.581
## 119 Bijodaira       ホオノキ 645 29.3845000 44.9047000 1036.726
## 120 Bijodaira       ホオノキ  19 33.8874000 45.5777000 1033.991
## 121 Bijodaira       トチノキ  67 27.1174000 49.1377000 1036.411
## 122 Bijodaira           スギ 646 27.1774000 49.9377000 1036.591
## 123 Bijodaira           スギ 647 27.7339000 54.7045000 1038.394
## 124 Bijodaira           スギ 648 24.6137000 53.8102000 1037.732
## 125 Bijodaira           スギ 649 21.7942000 54.8766000 1038.436
## 126 Bijodaira           スギ 650 23.7112000 58.7438000 1039.079
## 127 Bijodaira           スギ 651 23.9545000 61.7524000 1039.580
## 128 Bijodaira           ブナ  20 31.1289000 58.7013000 1038.727
## 129 Bijodaira           スギ 652 32.2689000 64.0813000 1040.947
## 130 Bijodaira           ブナ  21 36.9289000 61.4813000 1038.267
## 131 Bijodaira ウワミズザクラ 653 35.2003000 67.5861000 1038.177
## 132 Bijodaira           スギ 654 38.6400000 81.2316000 1038.972
## 133 Bijodaira           スギ 655 34.0929000 79.0002000 1040.317
## 134 Bijodaira           スギ 656 35.2233000 70.5214000 1039.815
## 135 Bijodaira           スギ 657 34.3447000 71.0270000 1040.355
## 136 Bijodaira           スギ 658 32.8176000 71.4048000 1039.996
## 137 Bijodaira           スギ 659 31.1215000 72.6942000 1042.069
## 138 Bijodaira           スギ 660 27.9715000 68.1842000 1042.249
## 139 Bijodaira           スギ 661 26.7315000 69.3842000 1042.499
## 140 Bijodaira           スギ 662 21.9081000 62.9160000 1040.429
## 141 Bijodaira           スギ 663 19.5860000 60.2953000 1041.330
## 142 Bijodaira           スギ 664 13.1105000 55.6924000 1041.363
## 143 Bijodaira           スギ 665 15.8974000 53.8226000 1041.860
## 144 Bijodaira           スギ 666 13.3805000 53.1024000 1041.203
## 145 Bijodaira           スギ 667 16.0498000 51.0979000 1040.486
## 146 Bijodaira           スギ 668 12.2366000 50.7923000 1042.926
## 147 Bijodaira           スギ 669  7.7171200 51.7311000 1043.550
## 148 Bijodaira           スギ 670  7.5232000 54.5066000 1042.553
## 149 Bijodaira           スギ 671  1.6480300 61.5216000 1043.274
## 150 Bijodaira           スギ 672  4.4661500 53.6453000 1044.669
## 151 Bijodaira           スギ 673  3.6064100 52.2660000 1044.727
## 152 Bijodaira           スギ 674  4.6112700 57.6007000 1042.865
## 153 Bijodaira           スギ 675  7.4134500 58.6394000 1042.579
## 154 Bijodaira           スギ 676  9.7334500 60.2094000 1042.319
## 155 Bijodaira           スギ 677  9.3634500 62.0194000 1042.489
## 156 Bijodaira       トチノキ  68 12.0634500 63.0894000 1041.129
## 157 Bijodaira           スギ 678  9.8022500 67.0778000 1043.203
## 158 Bijodaira           スギ 679 12.8625000 67.2190000 1043.885
## 159 Bijodaira           スギ 680 14.5608000 72.6761000 1044.076
## 160 Bijodaira           スギ 681 18.9310000 74.5514000 1044.417
## 161 Bijodaira           スギ 682 21.1437000 75.0462000 1044.512
## 162 Bijodaira           スギ 683 23.2019000 70.3818000 1042.015
## 163 Bijodaira           スギ 684 25.1064000 72.0459000 1043.648
## 164 Bijodaira           スギ 685 27.0382000 74.0635000 1043.495
## 165 Bijodaira           スギ 686 25.0769000 75.3804000 1043.986
## 166 Bijodaira           スギ 687 27.9101000 75.8295000 1043.478
##  [ reached 'max' / getOption("max.print") -- omitted 3655 rows ]

10 Function: ggplot_contour_data

Documentation:

Akimaのinterpで出力したコンタデータをggplotのgeom_contour
で描画できるデータフレームに変換する関数

Description:

     Akimaのinterpで出力したコンタデータをggplotのgeom_contour
     で描画できるデータフレームに変換する関数

Usage:

     ggplot_contour_data(interp_res = interp_res)
     
Arguments:

interp_res: Akimaのinterpで出力したリスト型のコンタデータ

Value:

     ggplotのgeom_contourで描画できるデータフレーム

Examples:

     plot.name<-"Bunazaka" #"Mimatsu"
     interp_res <-rasXYZ[[which(names(rasXYZ)==plot.name)]]
     interp_df<-ggplot_contour_data(interp_res)
     ggplot() +
     geom_contour(data = interp_df, aes(x = x, y = y, z = z), color = "blue")
     

Examples (from .Rd):

### Name: ggplot_contour_data
### Title: Akimaのinterpで出力したコンタデータをggplotのgeom_contour
###   で描画できるデータフレームに変換する関数
### Aliases: ggplot_contour_data

### ** Examples

plot.name<-"Bunazaka" #"Mimatsu"
interp_res <-rasXYZ[[which(names(rasXYZ)==plot.name)]]
interp_df<-ggplot_contour_data(interp_res)
ggplot() +
geom_contour(data = interp_df, aes(x = x, y = y, z = z), color = "blue")



Executed Example:

try(example('ggplot_contour_data', package = 'TateyamaVegetation', echo=TRUE, ask=FALSE), silent = TRUE)
## 
## ggpl__> plot.name<-"Bunazaka" #"Mimatsu"
## 
## ggpl__> interp_res <-rasXYZ[[which(names(rasXYZ)==plot.name)]]
## 
## ggpl__> interp_df<-ggplot_contour_data(interp_res)
## 
## ggpl__> ggplot() +
## ggpl__+ geom_contour(data = interp_df, aes(x = x, y = y, z = z), color = "blue")
## Warning: Removed 187 rows containing non-finite outside the scale range (`stat_contour()`).

11 Function: hindo

Documentation:

Title

Description:

     Title

Usage:

     hindo(r)
     
Arguments:

       r:

Executed Example:

try(example('hindo', package = 'TateyamaVegetation', echo=TRUE, ask=FALSE), silent = TRUE)
## Warning in example("hindo", package = "TateyamaVegetation", echo = TRUE, : 'hindo' にはヘルプファイルはありますが、実行例はありません

12 Function: package_docs_with_examples

Documentation:

Generate Package Documentation with Examples and Knit to HTML

Description:

     Generate Package Documentation with Examples and Knit to HTML

Usage:

     package_docs_with_examples(
       package_name,
       output_rmd = "package_docs_with_examples.Rmd",
       output_html = "package_docs_with_examples.html"
     )
     
Arguments:

package_name: The name of the package (character string)

output_rmd: The output Rmd filename (default:
          "package_docs_with_examples.Rmd")

output_html: The output HTML filename (default:
          "package_docs_with_examples.html")

Value:

     None. The Rmd and HTML files are generated in the current working
     directory.

Examples:

     package_docs_with_examples("yokoe")
     

Examples (from .Rd):

### Name: package_docs_with_examples
### Title: Generate Package Documentation with Examples and Knit to HTML
### Aliases: package_docs_with_examples

### ** Examples

package_docs_with_examples("yokoe")



Executed Example:

try(example('package_docs_with_examples', package = 'TateyamaVegetation', echo=TRUE, ask=FALSE), silent = TRUE)
## 
## pck___> package_docs_with_examples("yokoe")
## ✅ Rmd生成完了: package_docs_with_examples.Rmd
## 🧶 RmdをHTMLに変換中...

13 Function: subplot_xy_ggtext

Documentation:

Title

Description:

     Title

Usage:

     subplot_xy_ggtext(plot.name = "Mimatsu")
     
Arguments:

plot.name:

Examples:

     (p<-treemap(plot.name="Mimatsu"))
     p+subplot_xy_ggtext("Mimatsu")
     

Examples (from .Rd):

### Name: subplot_xy_ggtext
### Title: Title
### Aliases: subplot_xy_ggtext

### ** Examples

(p<-treemap(plot.name="Mimatsu"))
p+subplot_xy_ggtext("Mimatsu")



Executed Example:

try(example('subplot_xy_ggtext', package = 'TateyamaVegetation', echo=TRUE, ask=FALSE), silent = TRUE)
## 
## sbpl__> (p<-treemap(plot.name="Mimatsu"))
## Warning: Removed 209 rows containing non-finite outside the scale range (`stat_contour()`).
## Warning: ggrepel: 36 unlabeled data points (too many overlaps). Consider increasing max.overlaps

## 
## sbpl__> p+subplot_xy_ggtext("Mimatsu")
## Warning: Removed 209 rows containing non-finite outside the scale range (`stat_contour()`).
## ggrepel: 36 unlabeled data points (too many overlaps). Consider increasing max.overlaps

14 Function: subplot_xy_text

Documentation:

Title

Description:

     Title

Usage:

     subplot_xy_text(plot.name = "Mimatsu", ...)
     
Arguments:

plot.name:

Examples:

     plot(1:100,type="n")
     subplot_xy_text(plot.name="Mimatsu",col="red",cex=3)
     subplot_xy_text(plot.name="Arimine",col="Blue",cex=2)
     subplot_xy_text(plot.name="Kaminokodaira",col="Magenta",cex=2)
     

Examples (from .Rd):

### Name: subplot_xy_text
### Title: Title
### Aliases: subplot_xy_text

### ** Examples

plot(1:100,type="n")
subplot_xy_text(plot.name="Mimatsu",col="red",cex=3)
subplot_xy_text(plot.name="Arimine",col="Blue",cex=2)
subplot_xy_text(plot.name="Kaminokodaira",col="Magenta",cex=2)



Executed Example:

try(example('subplot_xy_text', package = 'TateyamaVegetation', echo=TRUE, ask=FALSE), silent = TRUE)
## 
## sbpl__> plot(1:100,type="n")

## 
## sbpl__> subplot_xy_text(plot.name="Mimatsu",col="red",cex=3)
## 
## sbpl__> subplot_xy_text(plot.name="Arimine",col="Blue",cex=2)
## 
## sbpl__> subplot_xy_text(plot.name="Kaminokodaira",col="Magenta",cex=2)

15 Function: topo_gg

Documentation:

Title

Description:

     Title

Usage:

     topo_gg(plot.name = "Mimatsu")
     
Arguments:

plot.name:

Examples:

     x11()
     pn<-"Mimatsu"
      pn<-"Bijodaira"
     (p<-treemap(plot.name=pn))
     p+topo_gg(pn)
     p+stream1
     

Examples (from .Rd):

### Name: topo_gg
### Title: Title
### Aliases: topo_gg

### ** Examples

x11()
pn<-"Mimatsu"
 pn<-"Bijodaira"
(p<-treemap(plot.name=pn))
p+topo_gg(pn)
p+stream1


Executed Example:

try(example('topo_gg', package = 'TateyamaVegetation', echo=TRUE, ask=FALSE), silent = TRUE)
## 
## top_gg> x11()
## 
## top_gg> pn<-"Mimatsu"
## 
## top_gg>  pn<-"Bijodaira"
## 
## top_gg> (p<-treemap(plot.name=pn))
## Warning: Removed 141 rows containing non-finite outside the scale range (`stat_contour()`).
## Warning: ggrepel: 9 unlabeled data points (too many overlaps). Consider increasing max.overlaps
## 
## top_gg> p+topo_gg(pn)

16 Function: treemap

Documentation:

Title

Description:

     Title

Usage:

     treemap(plot.name = "Mimatsu")
     
Arguments:

      df:

Examples:

     #  x11()
     treemap("Bijodaira")
     treemap("Bunazaka")
     treemap("Bunadaira")
     treemap("Kaminokodaira")
     
     treemap("Mimatsu")
      treemap("Mimatsu")+ ylim(c(45, 105))
     
     treemap("Matsuotoge")
     treemap("Kagamiishi")
     
     treemap("Arimine")
      treemap("Arimine")+ xlim(c(-5, 55))+ ylim(c(-5, 60))
     
     
     
     
     
     #'
     

Examples (from .Rd):

### Name: treemap
### Title: Title
### Aliases: treemap

### ** Examples


#  x11()
treemap("Bijodaira")
treemap("Bunazaka")
treemap("Bunadaira")
treemap("Kaminokodaira")

treemap("Mimatsu")
 treemap("Mimatsu")+ ylim(c(45, 105))

treemap("Matsuotoge")
treemap("Kagamiishi")

treemap("Arimine")
 treemap("Arimine")+ xlim(c(-5, 55))+ ylim(c(-5, 60))





#'


Executed Example:

try(example('treemap', package = 'TateyamaVegetation', echo=TRUE, ask=FALSE), silent = TRUE)
## 
## treemp> #  x11()
## treemp> treemap("Bijodaira")
## Warning: Removed 141 rows containing non-finite outside the scale range (`stat_contour()`).
## Warning: ggrepel: 85 unlabeled data points (too many overlaps). Consider increasing max.overlaps

## 
## treemp> treemap("Bunazaka")
## Warning: Removed 187 rows containing non-finite outside the scale range (`stat_contour()`).
## Warning: ggrepel: 273 unlabeled data points (too many overlaps). Consider increasing max.overlaps

## 
## treemp> treemap("Bunadaira")
## Warning: Removed 210 rows containing non-finite outside the scale range (`stat_contour()`).
## Warning: ggrepel: 71 unlabeled data points (too many overlaps). Consider increasing max.overlaps

## 
## treemp> treemap("Kaminokodaira")
## Warning: Removed 175 rows containing non-finite outside the scale range (`stat_contour()`).
## Warning: ggrepel: 469 unlabeled data points (too many overlaps). Consider increasing max.overlaps

## 
## treemp> treemap("Mimatsu")
## Warning: Removed 209 rows containing non-finite outside the scale range (`stat_contour()`).
## Warning: ggrepel: 36 unlabeled data points (too many overlaps). Consider increasing max.overlaps

## 
## treemp>  treemap("Mimatsu")+ ylim(c(45, 105))
## Warning: Contour data has duplicated x, y coordinates.
## ℹ 680 duplicated rows have been dropped.
## Warning: Removed 138 rows containing non-finite outside the scale range (`stat_contour()`).
## Warning: Removed 5 rows containing missing values or values outside the scale range (`geom_hline()`).
## Warning: Removed 149 rows containing missing values or values outside the scale range (`geom_point()`).
## Warning: Removed 149 rows containing missing values or values outside the scale range (`geom_text_repel()`).
## Warning: Removed 149 rows containing missing values or values outside the scale range (`geom_text()`).
## Removed 149 rows containing missing values or values outside the scale range (`geom_text()`).
## Warning: Removed 7 rows containing missing values or values outside the scale range (`geom_path()`).
## Warning: ggrepel: 6 unlabeled data points (too many overlaps). Consider increasing max.overlaps

## 
## treemp> treemap("Matsuotoge")
## Warning: Removed 326 rows containing non-finite outside the scale range (`stat_contour()`).
## Warning: ggrepel: 4 unlabeled data points (too many overlaps). Consider increasing max.overlaps

## 
## treemp> treemap("Kagamiishi")
## Warning: Removed 234 rows containing non-finite outside the scale range (`stat_contour()`).
## Warning: ggrepel: 2 unlabeled data points (too many overlaps). Consider increasing max.overlaps

## 
## treemp> treemap("Arimine")
## Warning: Removed 175 rows containing non-finite outside the scale range (`stat_contour()`).
## Warning: ggrepel: 53 unlabeled data points (too many overlaps). Consider increasing max.overlaps

## 
## treemp>  treemap("Arimine")+ xlim(c(-5, 55))+ ylim(c(-5, 60))
## Warning: Contour data has duplicated x, y coordinates.
## ℹ 1050 duplicated rows have been dropped.
## Warning: Removed 90 rows containing non-finite outside the scale range (`stat_contour()`).
## Warning: Removed 5 rows containing missing values or values outside the scale range (`geom_vline()`).
## Warning: Removed 4 rows containing missing values or values outside the scale range (`geom_hline()`).
## Warning: Removed 205 rows containing missing values or values outside the scale range (`geom_point()`).
## Warning: Removed 221 rows containing missing values or values outside the scale range (`geom_text_repel()`).
## Warning: Removed 205 rows containing missing values or values outside the scale range (`geom_text()`).
## Removed 205 rows containing missing values or values outside the scale range (`geom_text()`).

## 
## treemp> #'
## treemp> 
## treemp> 
## treemp>

17 Function: treemap_ggplot

Documentation:

Title

Description:

     Title

Usage:

     treemap_ggplot(df)
     
Arguments:

      df:

Examples:

     df <- data.frame(
     x = runif(30, 0, 100),
     y = runif(30, 0, 100),
     z = runif(30, 0, 100),
     dbh = runif(30, 10, 50),
     id = paste0(100:129),
     species = sample(c("A1", "B2", "C3"), 30, replace = TRUE),
     vigor = sample(1:5, 30, replace = TRUE)
     )
     treemap_ggplot(df)
     #'
     

Examples (from .Rd):

### Name: treemap_ggplot
### Title: Title
### Aliases: treemap_ggplot

### ** Examples


df <- data.frame(
x = runif(30, 0, 100),
y = runif(30, 0, 100),
z = runif(30, 0, 100),
dbh = runif(30, 10, 50),
id = paste0(100:129),
species = sample(c("A1", "B2", "C3"), 30, replace = TRUE),
vigor = sample(1:5, 30, replace = TRUE)
)
treemap_ggplot(df)
#'


Executed Example:

try(example('treemap_ggplot', package = 'TateyamaVegetation', echo=TRUE, ask=FALSE), silent = TRUE)
## 
## trmp_g> df <- data.frame(
## trmp_g+ x = runif(30, 0, 100),
## trmp_g+ y = runif(30, 0, 100),
## trmp_g+ z = runif(30, 0, 100),
## trmp_g+ dbh = runif(30, 10, 50),
## trmp_g+ id = paste0(100:129),
## trmp_g+ species = sample(c("A1", "B2", "C3"), 30, replace = TRUE),
## trmp_g+ vigor = sample(1:5, 30, replace = TRUE)
## trmp_g+ )
## 
## trmp_g> treemap_ggplot(df)

## 
## trmp_g> #'
## trmp_g> 
## trmp_g> 
## trmp_g>